Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron Ultra 253B is clearly ahead on the aggregate, 48 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron Ultra 253B's sharpest advantage is in coding, where it averages 33.7 against 7.2. The single biggest benchmark swing on the page is SWE-bench Pro, 38 to 6. LFM2.5-1.2B-Instruct does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Nemotron Ultra 253B is the reasoning model in the pair, while LFM2.5-1.2B-Instruct is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Nemotron Ultra 253B if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Nemotron Ultra 253B
46.7
LFM2.5-1.2B-Instruct
25.7
Nemotron Ultra 253B
33.7
LFM2.5-1.2B-Instruct
7.2
Nemotron Ultra 253B
44.7
LFM2.5-1.2B-Instruct
32.4
Nemotron Ultra 253B
53.3
LFM2.5-1.2B-Instruct
32.1
Nemotron Ultra 253B
42.4
LFM2.5-1.2B-Instruct
26
Nemotron Ultra 253B
78
LFM2.5-1.2B-Instruct
80
Nemotron Ultra 253B
70.1
LFM2.5-1.2B-Instruct
60.7
Nemotron Ultra 253B
59.7
LFM2.5-1.2B-Instruct
37
Nemotron Ultra 253B is ahead overall, 48 to 30. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 38 and 6.
Nemotron Ultra 253B has the edge for knowledge tasks in this comparison, averaging 42.4 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for coding in this comparison, averaging 33.7 versus 7.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for math in this comparison, averaging 59.7 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for reasoning in this comparison, averaging 53.3 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for agentic tasks in this comparison, averaging 46.7 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for multimodal and grounded tasks in this comparison, averaging 44.7 versus 32.4. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Instruct has the edge for instruction following in this comparison, averaging 80 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for multilingual tasks in this comparison, averaging 70.1 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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